jetson nano 装机配置说明

发表于 分类于 ， ，

jetson nano 装机配置说明

烧录系统

请访问官方地址按步操作:
https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit#prepare

安装相关依赖包

1
2
3
4

sudo apt-get update
sudo apt-get upgrade
sudo apt-get install build-essential python3 python3-dev python3-pip libhdf5-serial-dev hdf5-tools nano ntp

安装虚拟环境工具

1
2
3
4
5
6
7
8
9
10
11
12
13

pip3 install virtualenv

创建环境,指定python版本
virtualenv rayAI --python=python3.6.8
退出虚拟环境
deactivate
删除虚拟环境
rm -r rayAI


echo "source env/bin/activate" >> ~/.bashrc
source ~/.bashrc

扩展交换空间

1
2
3
4
5
6
7
8
9
10
11
12
13

# Allocates 4G of additional swap space at /var/swapfile
sudo fallocate -l 4G /var/swapfile
# Permissions
sudo chmod 600 /var/swapfile
# Make swap space
sudo mkswap /var/swapfile
# Turn on swap
sudo swapon /var/swapfile
# Automount swap space on reboot
sudo bash -c 'echo "/var/swapfile swap swap defaults 0 0" >> /etc/fstab'
# Reboot
sudo reboot

安装编译opencv 4.1.1

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
# Update
sudo apt-get update
sudo apt-get upgrade
# Pre-requisites
sudo apt-get install build-essential cmake unzip pkg-config
sudo apt-get install libjpeg-dev libpng-dev libtiff-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install libxvidcore-dev libx264-dev
sudo apt-get install libgtk-3-dev
sudo apt-get install libatlas-base-dev gfortran
sudo apt-get install python3-dev

# Install Numpy
pip install numpy

# Download sources
wget -O opencv.zip https://github.com/opencv/opencv/archive/4.1.1.zip
wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.1.1.zip


upzip opencv-4.1.1.zip
unzip opencv_contrib-4.1.1.zip


# Create a build directory
mkdir release
cd release/

cmake     -D WITH_CUDA=ON \
        -D OPENCV_EXTRA_MODULES_PATH=/home/ray/opencv_contrib-4.1.1/modules \
        -D WITH_GSTREAMER=ON \
        -D WITH_LIBV4L=ON \
        -D BUILD_opencv_python2=ON \
        -D BUILD_opencv_python3=ON \
        -D BUILD_TESTS=OFF \
        -D BUILD_PERF_TESTS=OFF \
        -D BUILD_EXAMPLES=OFF \
        -D CMAKE_BUILD_TYPE=RELEASE \
        -D CMAKE_INSTALL_PREFIX=/usr/local ..

make -j4
sudo make install

编译到27%时会报错Eigen/Core, 按照以下修改

1
2
3
4
../opencv/modules/core/include/opencv2/core/private.hpp中的
# include<Eigen/Core>
改为
# include<eigen3/Eigen/Core>

编译失败多编译几次，我编译了3次。。。

原生opencv库与虚拟环境链接

The native library should now be installed in a location that looks like /usr/local/lib/python3.6/site-packages/cv2/python-3.6/cv2.cpython-36m-xxx-linux-gnu.so

1
2
3
4
5
6
7
8
# Go to the folder where OpenCV's native library is built
cd /usr/local/lib/python3.6/site-packages/cv2/python-3.6
# Rename
mv cv2.cpython-36m-xxx-linux-gnu.so cv2.so
# Go to your virtual environments site-packages folder
cd ~/./virtualenvs/rayAI/lib/python3.6/site-packages/
# Symlink the native library
ln -s /usr/local/lib/python3.6/site-packages/cv2/python-3.6/cv2.so cv2.so

安装vscode

https://www.bilibili.com/video/av51422393
https://github.com/baomingyi/JetsonNanoTech/blob/master/IVSC.md